Suppliers China INGSHI
SUPPLIER MANAGED
INGSHI Logo

INGSHI

China
2014
Private
51 - 200
Open website

INGSHI is an internationally leading high-dimensional, complex analogue big Data Mining technology company. Their tech is based on Artificial Intelligence for enterprises and institutions, especially focused on production industries (such as electricity, petrochemical), large-scale equipment manufacturing, precision manufacturing companies and related R&D. The organization provides Data Mining and real-time analysis systems (such as smart device monitoring engines, production quality forecasting models, etc.)..INGSHI's industrial data intelligence product, provides early warning of faults in industrial equipment, significantly extending the useful life.

Read More

Sinopec, P&G, China Mobile, China Telecom, Magna

Read More
INGSHI is a provider of Industrial IoT analytics and modeling technologies.
Technologies
Analytics & Modeling
Data Mining
Big Data Analytics
INGSHI’s Technology Stack maps INGSHI’s participation in the analytics and modeling IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Similar Suppliers5
TigerGraph
TigerGraph
TigerGraph is a provider of a graph database platform for enterprise applications. It fulfills the true promise and benefits of the graph platform by supporting real-time deep link analytics for enterprises with complex and colossal amounts of data. TigerGraph???s proven technology is used by customers including Alipay, VISA, SoftBank, State Grid Corporation of China, Wish and Elementum. The company supports applications such as IoT, AI, and Machine Learning to make sense of ever-changing big data. It also provides personalized recommendations, fraud prevention, supply-chain logistics, company knowledge graph, and other features. Founded by Yu Xu, Ph.D. in 2012, TigerGraph is funded by Qiming VC, Baidu, Ant Financial, AME Cloud, Morado Ventures, Zod Nazem, Danhua Capital, and DCVC. TigerGraph is based in Redwood City, CA.
Sight Machine
Sight Machine
Sight Machine specializes in manufacturing analytics and used by Global 500 companies to make better, faster decisions about their operations. Sight Machine's analytics platform, purpose-built for discrete and process manufacturing, uses Artificial Intelligence, Machine Learning, and advanced analytics to help address critical challenges in quality and productivity throughout the enterprise. The platform is powered by the industry's only Plant Digital Twin, which enables real-time visibility and actionable insights for every machine, line, and plant throughout an enterprise. Founded in Michigan in 2011 and expanded to the Bay Area in 2012, Sight Machine fuses the spirit of Silicon Valley technology innovation with rock-solid Detroit manufacturing. Our team includes the founders of Slashdot along with leadership from early Yahoo, Palantir, Tesla, Cisco, IBM, McKinsey, and Apple.
Ecorithm
Ecorithm
Physics-based predictive analytics and optimization software platform transforming dynamic data into specific, actionable insights for building owners and operators.
Getech
Getech
格创东智提出“面向生产现场”的工业互联网平台研发方向,通过深度融合人工智能、大数据、云计算等前沿技术,打造了新一代的APaaS平台——东智工业应用智能平台。现阶段,东智工业应用智能平台及应用已经在半导体、精密电子、汽车零配件等行业落地,能为客户提供从边缘数据采集、工业大数据分析到顶层应用开发的一站式解决方案。
Alteryx
Alteryx
Alteryx, Inc. was formed in 2011 and is a leader in self-service Data Science and analytics. Alteryx provides analysts with the unique ability to easily prep, blend and analyze all of their data using a repeatable workflow, then deploy and share analytics at scale for deeper insights in hours, not weeks.Analysts love the Alteryx Analytics platform because they can connect to and cleanse data from data warehouses, cloud applications, spreadsheets and other sources, easily join this data together, then perform analytics – predictive, statistical and spatial – using the same intuitive user interface, without writing any code.
Download PDF Version
test test